Fetching the paper…
Reading the bibliography…
Image completion techniques have made significant progress in filling missing regions (i.e., holes) in images.
An empirical Bayes estimator of the mean of a normal population
Miyasawa K · 1961
Earlier work this paper cites.
Estimation of the Mean of a Multivariate Normal Distribution
Charles Stein · 1981
Earlier work this paper cites.
Tweedie’s Formula and Selection Bias
Bradley Efron · 2011
Earlier work this paper cites.
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Generative Adversarial Nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Auto-Encoding Variational Bayes
Diederik P Kingma and Max Welling · 2014
Earlier work this paper cites.
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
Earlier work this paper cites.
Cross-stitch Networks for Multi-task Learning
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, and Martial Hebert · 2016
Earlier work this paper cites.
Pixel Recurrent Neural Networks
Aäron van den Oord, Nal Kalchbrenner, and Koray Kavukcuoglu · 2016
Earlier work this paper cites.
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, and Sepp Hochreiter · 2017
Earlier work this paper cites.
Globally and Locally Consistent Image Completion
Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa · 2017
Earlier work this paper cites.
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder · 2017
Earlier work this paper cites.
Neural Discrete Representation Learning
Aaron van den Oord, Oriol Vinyals, and koray kavukcuoglu · 2017
Earlier work this paper cites.
Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Towards Deeper Understanding of Variational Autoencoding Models
Shengjia Zhao, Jiaming Song, and Stefano Ermon · 2017
Earlier work this paper cites.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
Earlier work this paper cites.
Image Inpainting for Irregular Holes Using Partial Convolutions
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, and Bryan Catanzaro · 2018
Earlier work this paper cites.
Generative Image Inpainting with Contextual Attention
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S. Huang · 2018
Earlier work this paper cites.
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
Places: A 10 Million Image Database for Scene Recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2018
Earlier work this paper cites.
SC-FEGAN: Face Editing Generative Adversarial Network With User’s Sketch and Color
Youngjoo Jo and Jongyoul Park · 2019
Earlier work this paper cites.
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Earlier work this paper cites.
Coherent Semantic Attention for Image Inpainting
Hongyu Liu, Bin Jiang, Yi Xiao, and Chao Yang · 2019
Earlier work this paper cites.
Fixing Weight Decay Regularization in Adam
Ilya Loshchilov and Frank Hutter · 2019
Cited alongside, same era.
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction
Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Qureshi, and Mehran Ebrahimi · 2019
Cited alongside, same era.
StructureFlow: Image Inpainting via Structure-aware Appearance Flow
Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, and Ge Li · 2019
Cited alongside, same era.
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song and Stefano Ermon · 2019
Cited alongside, same era.
Image Inpainting with Learnable Bidirectional Attention Maps
Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, and Errui Ding · 2019
Cited alongside, same era.
Foreground-Aware Image Inpainting
Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, and Jiebo Luo · 2019
Diverse Image Inpainting with Bidirectional and Autoregressive Transformers
Yingchen Yu, Fangneng Zhan, Rongliang WU, Jianxiong Pan, Kaiwen Cui, Shijian Lu, Feiying Ma, Xuansong Xie, and Chunyan Miao · 2021
Later among the works it cites.
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao, Jonathan Cui, Yilun Sheng, Yue Dong, Xiao Liang, Eric I Chang, and Yan Xu · 2021
Later among the works it cites.
Pluralistic Free-Form Image Completion
Chuanxia Zheng, Tat-Jen Cham, and Jianfei Cai · 2021
Later among the works it cites.
TransFill: Reference-Guided Image Inpainting by Merging Multiple Color and Spatial Transformations
Yuqian Zhou, Connelly Barnes, Eli Shechtman, and Sohrab Amirghodsi · 2021
Later among the works it cites.
Learning Prior Feature and Attention Enhanced Image Inpainting
Chenjie Cao, Qiaole Dong, and Yanwei Fu · 2022
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Free-Form Image Inpainting With Gated Convolution
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S. Huang · 2019
Cited alongside, same era.
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao, and Baining Guo · 2019
Cited alongside, same era.
Pluralistic image completion
Chuanxia Zheng, Tat-Jen Cham, and Jianfei Cai · 2019
Cited alongside, same era.
Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Guidance and evaluation: Semantic-aware image inpainting for mixed scenes
Liang Liao, Jing Xiao, Zheng Wang, Chia-Wen Lin, and Shin’ichi Satoh · 2020
Cited alongside, same era.
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, and Radu Timofte · 2020
Cited alongside, same era.
Qiaole Dong, Chenjie Cao, and Yanwei Fu · 2022
Closest in time.
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
Closest in time.
Reduce Information Loss in Transformers for Pluralistic Image Inpainting
Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, and Nenghai Yu · 2022
Closest in time.
RePaint: Inpainting Using Denoising Diffusion Probabilistic Models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
Closest in time.
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2022
Closest in time.
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Closest in time.
Palette: Image-to-Image Diffusion Models
Chitwan Saharia, William Chan, Huiwen Chang, Chris Lee, Jonathan Ho, Tim Salimans, David Fleet, and Mohammad Norouzi · 2022
Closest in time.
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade W Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa R Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, and Jenia Jitsev · 2022
Closest in time.
Resolution-robust Large Mask Inpainting with Fourier Convolutions
Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, and Victor Lempitsky · 2022
Closest in time.
Diverse Image Inpainting with Normalizing Flow
Cairong Wang, Yiming Zhu, and Chun Yuan · 2022
Closest in time.
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches
Yu Zeng, Zhe Lin, and Vishal M. Patel · 2022
Closest in time.
CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training
Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, and Jiebo Luo · 2022
Closest in time.
https://huggingface.co/runwayml/stable-diffusion-inpainting , accessed 29 August, 2023
runwayml/stable-diffusion-inpainting · 2023
Closest in time.
https://huggingface.co/stabilityai/stable-diffusion-2-1-base , Last accessed 29 August, 2023
stabilityai/stable-diffusion-2-1-base · 2023
Closest in time.
Image Inpainting via Iteratively Decoupled Probabilistic Modeling
Wenbo Li, Xin Yu, Kun Zhou, Yibing Song, Zhe Lin, and Jiaya Jia · 2023
Closest in time.
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
Weihuang Liu, Xiaodong Cun, Chi-Man Pun, Menghan Xia, Yong Zhang, and Jue Wang · 2023
Closest in time.
Dense extreme inception network for edge detection
Xavier Soria Poma, Ángel D. Sappa, Patricio Humanante, and Arash Akbarinia · 2023
Closest in time.
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang and Maneesh Agrawala · 2023
Closest in time.